Not yet answered Marked out of 10.00 P Flag question 1- Calculate the neural network outputs and their errors for the feedforward neural network with two inputs, two hidden neurons, two output neurons as shown in the diagram. The initial weights, the biases, and training inputs/outputs are given in the diagram. Single training set: given inputs 0.05 and 0.10, the neural network targets 0.01 and 0.99. The activation function for hidden and output neurons is the logistic sigmoid function: 1 1+e-* 2- Calculate the local gradients for the output layer 15 w1 40 w5 h1 20 w2 .45 W6 25 W3 .50 w7 i2 h2 02 -30 W4 .55 W8 .35 .60 b1.35 b2.60 1 Not yet answered Marked out of 10.00 P Flag question 1- Calculate the neural network outputs and their errors for the feedforward neural network with two inputs, two hidden neurons, two output neurons as shown in the diagram. The initial weights, the biases, and training inputs/outputs are given in the diagram. Single training set: given inputs 0.05 and 0.10, the neural network targets 0.01 and 0.99. The activation function for hidden and output neurons is the logistic sigmoid function: 1 1+e-* 2- Calculate the local gradients for the output layer 15 w1 40 w5 h1 20 w2 .45 W6 25 W3 .50 w7 i2 h2 02 -30 W4 .55 W8 .35 .60 b1.35 b2.60 1